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Professional architect sharing high‑quality architecture insights. Topics include high‑availability, high‑performance, high‑stability architectures, big data, machine learning, Java, system and distributed architecture, AI, and practical large‑scale architecture case studies. Open to ideas‑driven architects who enjoy sharing and learning.

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Architect
Architect
Apr 12, 2026 · Artificial Intelligence

OpenClaw vs Hermes Agent: Which General AI Agent Fits Your Needs?

OpenClaw and Hermes are both general‑purpose AI agent platforms, but they differ fundamentally in focus—OpenClaw emphasizes a gateway‑centric, multi‑channel control plane, while Hermes centers on a self‑improving execution loop with procedural memory, skill automation, and deep security layers—making each better suited to distinct use cases and migration paths.

AI AgentsHermesOpenClaw
0 likes · 27 min read
OpenClaw vs Hermes Agent: Which General AI Agent Fits Your Needs?
Architect
Architect
Apr 9, 2026 · Industry Insights

Why Claude Managed Agents Are Redefining AI Workflows: A Deep Dive

Anthropic's Claude Managed Agents shift the focus from building demo loops to providing a fully hosted runtime base that handles sandboxing, state persistence, error recovery, and tool execution, enabling developers to concentrate on business logic and long‑running tasks while navigating new cost and compliance considerations.

AI Agent infrastructureAgent EngineeringClaude Managed Agents
0 likes · 23 min read
Why Claude Managed Agents Are Redefining AI Workflows: A Deep Dive
Architect
Architect
Apr 6, 2026 · Artificial Intelligence

Why Coding Agents Feel Like Real Colleagues: The Hidden Harness Layer Explained

The article breaks down how a Coding Agent’s performance depends not just on the underlying LLM but on the surrounding Harness system that adds context, tool orchestration, memory management, and execution safeguards, turning raw models into collaborative software engineers.

Coding AgentContext managementHarness
0 likes · 18 min read
Why Coding Agents Feel Like Real Colleagues: The Hidden Harness Layer Explained
Architect
Architect
Apr 1, 2026 · Artificial Intelligence

Inside Claude Code: How Anthropic Built a Secure, Scalable Local Agent Runtime

This article dissects Claude Code’s open‑source repository, revealing how its startup sequence, context assembly, main loop, tool contracts, permission pipeline, and long‑task handling are engineered layer by layer to create a performant, secure local AI agent runtime.

AI ArchitectureClaude CodeContext management
0 likes · 24 min read
Inside Claude Code: How Anthropic Built a Secure, Scalable Local Agent Runtime
Architect
Architect
Mar 31, 2026 · Artificial Intelligence

What Claude Code’s Leaked Source Map Reveals About the Architecture of AI Agents

A recent source‑map leak of the Claude Code npm package exposed thousands of TypeScript files, allowing engineers to reconstruct the full harness—including its main loop, tool pool, task runtime, memory system, and security boundaries—offering a rare glimpse into the engineering reality of a production‑grade AI agent platform.

AI AgentClaude CodeTask Runtime
0 likes · 25 min read
What Claude Code’s Leaked Source Map Reveals About the Architecture of AI Agents
Architect
Architect
Mar 30, 2026 · Artificial Intelligence

Unlocking Claude Code: 6 Must‑Learn Features to Supercharge Your AI Development

This article analyzes Claude Code’s hidden capabilities—verification loops, context isolation, session forking, cross‑device teleportation, automated cycles, and parallel worktree isolation—showing how engineers can turn the AI coding assistant into a full‑featured, orchestrated development environment rather than a simple chat‑based code generator.

AI developmentClaude CodeGit Worktree
0 likes · 26 min read
Unlocking Claude Code: 6 Must‑Learn Features to Supercharge Your AI Development
Architect
Architect
Mar 28, 2026 · Artificial Intelligence

Why AI Agents Need a Harness: From Model Power to System Reliability

The article analyzes how the growing strength of large language models shifts engineering bottlenecks from model capabilities to system stability, introducing the concept of a "Harness" that integrates models into real‑world workflows through state management, constraints, feedback loops, and verification mechanisms.

AI OpsAI engineeringAgent Harness
0 likes · 18 min read
Why AI Agents Need a Harness: From Model Power to System Reliability
Architect
Architect
Mar 27, 2026 · Artificial Intelligence

Turning AI Agents into a Planning‑First Development Engine

The article analyzes Matt Van Horn’s workflow that replaces traditional IDEs with a planning‑first approach using markdown task files, voice input, parallel research agents, and a custom "last30days" engine, showing how AI can orchestrate research, planning, execution, and verification to boost productivity across code and non‑code tasks.

AIPlanningagents
0 likes · 24 min read
Turning AI Agents into a Planning‑First Development Engine
Architect
Architect
Mar 26, 2026 · Artificial Intelligence

How Anthropic’s Harness Keeps Long‑Running AI Agents on Track

The article analyzes Anthropic’s Harness design for long‑running applications, detailing how it mitigates context anxiety and self‑evaluation bias through sprint contracts, rubric scoring, and a planner‑generator‑evaluator architecture, and evaluates its effectiveness across multiple versions.

AI AgentsContext managementarchitectural design
0 likes · 13 min read
How Anthropic’s Harness Keeps Long‑Running AI Agents on Track
Architect
Architect
Mar 25, 2026 · Industry Insights

What to Inspect First in OpenAI’s Codex Repo? 5 Must‑Read Files

If you can only glance at the OpenAI Codex repository once, focus on five key entry points—AGENTS.md, justfile, rust-ci.yml, the app‑server README with schema fixtures, and rust-release.yml—to quickly understand the team’s engineering decisions, risk management, and release cadence.

AI developmentCI/CDCodex
0 likes · 22 min read
What to Inspect First in OpenAI’s Codex Repo? 5 Must‑Read Files